7 citations · 13 across the 4 of their papers we have counts for
7 papers
hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries
Jihun Yoon, Jiwon Lee, Sunghwan Heo +9
Automated surgical instrument localization is an important technology to understand the surgical process and in order to analyze them to provide meaningful guidance during surgery…
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks
Seungbum Hong, Jihun Yoon, Junmo Kim +1
Knowledge transfer using convolutional neural networks (CNNs) can help efficiently train a CNN with fewer parameters or maximize the generalization performance under limited superv…
Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotations
Seungbum Hong, Jiwon Lee, Bokyung Park +5
As the area of application of deep neural networks expands to areas requiring expertise, e.g., in medicine and law, more exquisite annotation processes for expert knowledge trainin…
Deep Active Learning with Augmentation-based Consistency Estimation
SeulGi Hong, Heonjin Ha, Junmo Kim +1
In active learning, the focus is mainly on the selection strategy of unlabeled data for enhancing the generalization capability of the next learning cycle. For this, various uncert…
Semi-Supervised Object Detection with Sparsely Annotated Dataset
Jihun Yoon, Seungbum Hong, Sanha Jeong +1
In training object detector based on convolutional neural networks, selection of effective positive examples for training is an important factor. However, when training an anchor-b…
Development of Fast Refinement Detectors on AI Edge Platforms
Min-Kook Choi, Heechul Jung
With the improvements in the object detection networks, several variations of object detection networks have been achieved impressive performance. However, the performance evaluati…